6 citations · 9 across the 6 of their papers we have counts for
6 papers
Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam +17
Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex in…
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs +22
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter…
Scenario-based model predictive control of water reservoir systems
Raffaele Giuseppe Cestari, Andrea Castelletti, Simone Formentin
The optimal operation of water reservoir systems is a challenging task involving multiple conflicting objectives. The main source of complexity is the presence of the water inflow,…
Hourly operation of a regulated lake via Model Predictive Control
Raffaele G. Cestari, Andrea Castelletti, Simone Formentin
The optimal operation of regulated lakes is a challenging task involving conflicting objectives, ranging from controlling lake levels to avoid floods and low levels to water supply…
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso +9
Atmospheric Extreme Events (EEs) cause severe damages to human societies and ecosystems. The frequency and intensity of EEs and other associated events are increasing in the curren…
Learning-based hierarchical control of water reservoir systems
Pauline Kergus, Simone Formentin, Matteo Giuliani +1
The optimal control of a water reservoir systems represents a challenging problem, due to uncertain hydrologic inputs and the need to adapt to changing environment and varying cont…